The Nature of Self-Improving Artificial Intelligence
暂无分享,去创建一个
[1] F. J. Anscombe,et al. A Definition of Subjective Probability , 1963 .
[2] Judea Pearl,et al. Probabilistic reasoning in intelligent systems - networks of plausible inference , 1991, Morgan Kaufmann series in representation and reasoning.
[3] Andrew W. Moore,et al. Reinforcement Learning: A Survey , 1996, J. Artif. Intell. Res..
[4] R. K. Shyamasundar,et al. Introduction to algorithms , 1996 .
[5] D. Gillies. Philosophical Theories of Probability , 2000 .
[6] B. Franklin,et al. The autobiography and other writings , 1982, American Political Science Review.
[7] Eliezer Yudkowsky,et al. Levels of Organization in General Intelligence , 2007, Artificial General Intelligence.
[8] Sven Ove Hansson. Time and decision. Economic and psychological perspectives on intertemporal choice : Review of George Loewenstein, Daniel Read, and Roy F. Baumeister (eds.) , 2006 .
[9] Marcus Hutter,et al. Universal Artificial Intelligence: Sequential Decisions Based on Algorithmic Probability (Texts in Theoretical Computer Science. An EATCS Series) , 2006 .
[10] I. J. Good,et al. Speculations Concerning the First Ultraintelligent Machine , 1965, Adv. Comput..
[11] Jerry R. Green. “Making Book Against Oneself,” the Independence Axiom, and Nonlinear Utility Theory , 1987 .
[12] Jürgen Schmidhuber,et al. Goedel Machines: Self-Referential Universal Problem Solvers Making Provably Optimal Self-Improvements , 2003, ArXiv.
[13] Thomas A. Bass. The Eudaemonic Pie , 1985 .
[14] Gerald Tesauro,et al. Temporal difference learning and TD-Gammon , 1995, CACM.
[15] S. Omohundro,et al. Geometric Perturbation Theory In Physics , 1986 .
[16] Charles H. Bennett,et al. The thermodynamics of computation—a review , 1982 .
[17] Stephen M. Omohundro,et al. Best-First Model Merging for Dynamic Learning and Recognition , 1991, NIPS.
[18] R. Landauer,et al. Irreversibility and heat generation in the computing process , 1961, IBM J. Res. Dev..
[19] Charles H. Bennett,et al. Logical reversibility of computation , 1973 .
[20] Richard Bellman,et al. Adaptive Control Processes - A Guided Tour (Reprint from 1961) , 2015, Princeton Legacy Library.
[21] Keith E. Stanovich,et al. The Robot's Rebellion: Finding Meaning in the Age of Darwin , 2004 .
[22] Francesco Palla,et al. The Formation of Stars , 2005 .
[23] K. Eric Drexler,et al. Nanosystems - molecular machinery, manufacturing, and computation , 1992 .
[24] J. Baldwin. A New Factor in Evolution , 1896, The American Naturalist.
[25] Amots Zehavi,et al. The Handicap Principle: A Missing Piece of Darwin's Puzzle , 1997 .
[26] M. P. Fewell,et al. The atomic nuclide with the highest mean binding energy , 1995 .
[27] Eric Deeson. The Recursive Universe: Cosmic Complexity and the Limits of Scientific Knowledge , 1987 .
[28] G. Deutscher. The Unfolding of Language: An Evolutionary Tour of Mankind's Greatest Invention , 2005 .
[29] Richard S. Sutton,et al. Reinforcement Learning: An Introduction , 1998, IEEE Trans. Neural Networks.
[30] Marcus Hutter. The Fastest and Shortest Algorithm for all Well-Defined Problems , 2002, Int. J. Found. Comput. Sci..
[31] G. Miller. The Mating Mind: How Sexual Choice Shaped the Evolution of Human Nature , 2000 .
[32] R. Kurzweil,et al. The Singularity Is Near: When Humans Transcend Biology , 2006 .